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03_Asymp and Distr

Authored by Ira Simankova

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University

Used 3+ times

03_Asymp and Distr
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6 questions

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1.

MULTIPLE CHOICE QUESTION

45 sec • 5 pts

What command would you use to visually inspect one continuous variable in Stata?

histogram

sum

scatter plot

tab

2.

MULTIPLE CHOICE QUESTION

45 sec • 5 pts

How many parameters does Chi-squared distribution have?

1

2

3

4

3.

MULTIPLE CHOICE QUESTION

45 sec • 5 pts

What command would you use to generate a normally distributed variable with mean 2 and variance 9?

rnormal(3, 1)

rnormal(2, 3)

normal(2, 3)

rnormal(2, 9)

4.

MULTIPLE CHOICE QUESTION

45 sec • 5 pts

Which distribution has a bell shape?

Uniform (3,5)

Chi-squared (1)

Normal (5, 1)

None of the above

5.

MULTIPLE CHOICE QUESTION

45 sec • 5 pts

You are estimating 400 subsamples from a random variable x which is uniformly distributed between 3 and 5. What could you tell about sampling distribution of the mean?

It is impossible to predict.

It will be chi-squared distributed with mean 3.

It will be uniformly distributed with mean 4.

It will be normally distributed with mean 4.

6.

MULTIPLE CHOICE QUESTION

45 sec • 5 pts

In the previous question, you based your answer on:

On the central limit theorem.

On the law of large numbers.

On the variance of x.

On intuition.

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